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Figure 1. AD-Control SVM score trajectories for MCI subjects.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
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Figure 6. Test set misclassification rate during the course of feature elimination for: (a) the AD-Control classifier and (b) the CT-NT classifier.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
Figure 7. Sorted retained voxel percentages for initial regions used to select final regions (Sec. 3.2.3): (a) AD-Control; b) CT-NT.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
Figure 4. Training/test set selection for by-trajectory, considering a larger training set size ( per class) and features.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
Figure 3. Test set accuracy comparison of by-CDR and by-trajectory classification.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
Figure 2. A population of 298 MCI subjects in ADNI is shown here, broken up according to the two criteria discussed in Sec. 3.2.1: (a) by-CDR criterion, (b) by-trajectory criterion; (c) overlap shown.. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
Figure 5. For the hippocampus, by-trajectory (red) has larger histogram separation between converter (dashed line) and nonconverter (solid line) groups than by-CDR (blue).. From: An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients.
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